3 years ago

Rapid planning for aerocapture trajectory via convex optimization

Hongwei Han, Dong Qiao, Hongbo Chen, Xiangyu Li

Publication date: Available online 12 November 2018

Source: Aerospace Science and Technology

Author(s): Hongwei Han, Dong Qiao, Hongbo Chen, Xiangyu Li


Aerocapture, which usually refers to delivering a vehicle from hyperbolic orbit to planetary orbit using the aerodynamic force, can potentially lower fuel consumption. By controlling the direction and magnitude of the aerodynamic force, the vehicle can be accurately transferred to the target orbit. This paper mainly focuses on developing a convex algorithm for the constrained trajectory planning of aerocapture. For nonlinear aerocapture problem, the main task is to convert this problem into a convex sub-problem, and then the solution of the original problem can be efficiently obtained by solving a sequence of such sub-problems with convex optimization. In order to formulate a highly constrained aerocapture trajectory-planning problem into a convex-form one, all non-convex items in aerocapture problem are turned into convex functions by successive linearization, variable equivalent replacement and control variable relaxation. The simulation results of the optimal aerocapture, represented by minimum impulse, flight time and heat load, indicate that the proposed method is highly efficient and can be potentially applied for on-board trajectory planning method.

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.